Mistral AI • llm
Grande modelo de linguagem (llm) desenvolvido pela Mistral AI — Intelligence Index 27/100 no Artificial Analysis; US$ 2.00/1M tokens de entrada; 41 tokens/s de velocidade.
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Magistral Medium 1.2 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 13.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 75.0 | 100.0 | Artificial Analysis official API |
| SciCode | 39.0 | 100.0 | — |
| AA Coding Index | 21.7 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 82.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 51.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Math Index | 82.0 | 100.0 | Artificial Analysis official API |
| AIME 2025 | 82.0 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 27.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 81.5 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 74.0 | 100.0 | Artificial Analysis official API |
| IFBench | 43.0 | 100.0 | — |
| HLE | 10.0 | 100.0 | — |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 52.0 | 100.0 | — |
Magistral Medium 1.2 is an AI model developed by Mistral AI, classified as a llm model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Mistral AI's cloud API.
Magistral Medium 1.2 does not have public per-token pricing available at this time. Some models offer access via enterprise plans or research programs. Check Mistral AI's official website for up-to-date availability and pricing.
Magistral Medium 1.2 was evaluated on 14 different benchmarks, covering categories like Agentic, Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show solid performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Magistral Medium 1.2 is suitable for a wide range of AI applications: text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Magistral Medium 1.2 competes directly with similarly capable models. Mistral AI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Magistral Medium 1.2 is an AI model developed by Mistral AI. It is a llm model.
Magistral Medium 1.2 does not have public per-token pricing available at this time. Check Mistral AI's official website for up-to-date information.
In available benchmarks, Magistral Medium 1.2 scored: Terminal-Bench Hard: 13/100, LiveCodeBench: 75/100, SciCode: 39/100. See the full table above for a detailed comparison.
No, Magistral Medium 1.2 is a proprietary model from Mistral AI. It is available via cloud API. For open source alternatives, check our open source model ranking.
Magistral Medium 1.2 excels at general-purpose language tasks.
Last updated: June 01, 2026 • View methodology →